iPhone16,2
Geekbench ML Score
2811
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64
Result Information
| User | 2048 |
| Upload Date | October 05 2023 12:00 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.0.2 |
| Model | iPhone16,2 |
| Model ID | iPhone16,2 |
| Motherboard | D84AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.77 GHz |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2904
311.2 IPS |
|
|
Image Classification (F16)
|
100% |
4948
530.2 IPS |
|
|
Image Classification (I8)
|
81% |
829
88.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
6059
37.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
9683
59.8 IPS |
|
|
Image Segmentation (I8)
|
89% |
1503
9.28 IPS |
|
|
Pose Estimation (F32)
|
100% |
2434
9.85 IPS |
|
|
Pose Estimation (F16)
|
100% |
5242
21.2 IPS |
|
|
Pose Estimation (I8)
|
80% |
283
1.15 IPS |
|
|
Object Detection (F32)
|
100% |
3798
133.3 IPS |
|
|
Object Detection (F16)
|
100% |
5452
191.3 IPS |
|
|
Object Detection (I8)
|
52% |
1198
42.0 IPS |
|
|
Face Detection (F32)
|
100% |
5907
67.9 IPS |
|
|
Face Detection (F16)
|
97% |
11018
126.6 IPS |
|
|
Face Detection (I8)
|
75% |
1152
13.2 IPS |
|
|
Text Classification (F32)
|
100% |
2172
859.2 IPS |
|
|
Text Classification (F16)
|
100% |
2710
1.07 KIPS |
|
|
Machine Translation (F32)
|
100% |
2862
441.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2858
440.4 IPS |
